Comprehensive Analysis of the Systemic Transcriptomic Alternations and Inflammatory Response during the Occurrence and Progress of COVID‐19

S Mo, L Dai, Y Wang, B Song, Z Yang… - Oxidative Medicine and …, 2021 - Wiley Online Library
The pandemic of the coronavirus disease 2019 (COVID‐19) has posed huge threats to
healthcare systems and the global economy. However, the host response towards COVID …

Using system biology and bioinformatics to identify the influences of COVID-19 co-infection with influenza virus on COPD

Z Liang, X Zheng, Y Wang, K Chu, Y Gao - Functional & Integrative …, 2023 - Springer
Abstract Coronavirus disease 2019 (COVID-19) has speedily increased mortality globally.
Although they are risk factors for severe acute respiratory syndrome coronavirus 2 (SARS …

[HTML][HTML] Identification of key genes and pathways in SARS-COV-2 infection using bioinformatics analysis

Z Wang, C Jiang, X Zhang, Y Zhang, Y Ren, X Gao - 2020 - europepmc.org
Background: Coronavirus disease 2019 (COVID-19) is a disease that causes fatal disorders
including severe pneumonia. Our study aimed to utilize bioinformatics method to analyze the …

An integrative bioinformatics analysis for identifying hub genes associated with infection of lung samples in patients infected with SARS-CoV-2

TA Xie, ZJ He, C Liang, HN Dong, J Zhou… - European Journal of …, 2021 - Springer
Background At the end of 2019, the world witnessed the emergence and ravages of a viral
infection induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Also …

Inferring SARS-CoV-2 functional genomics from viral transcriptome with identification of potential antiviral drugs and therapeutic targets

X Pan, X Li, S Ning, H Zhi - Cell & Bioscience, 2021 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is an emerging infectious disease caused
by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and has posed a …

Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and …

MN Hoque, MMH Sarkar, MA Khan… - Frontiers in …, 2022 - frontiersin.org
The COVID-19 pandemic, caused by Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2), has created an urgent global situation. Therefore, it is necessary to identify …

Identification of key genes in SARS-CoV-2 patients on bioinformatics analysis

H Gu, G Yuan - bioRxiv, 2020 - biorxiv.org
The COVID-19 pandemic has infected millions of people and overwhelmed many health
systems globally. Our study is to identify differentially expressed genes (DEGs) and …

[HTML][HTML] Identification of key regulatory genes in the pathogenesis of COVID-19 and sepsis: An observational study

X Chen, F Yang, G Luo - Medicine, 2024 - journals.lww.com
Patients with severe COVID-19 and those with sepsis have similar clinical manifestations.
We used bioinformatics methods to identify the common hub genes in these 2 diseases. Two …

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infection

H Gu, G Yuan - MedRxiv, 2020 - medrxiv.org
The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) has overwhelmed many health systems globally. Here, we aim to identify …

In silico transcriptional analysis of asymptomatic and severe COVID-19 patients reveals the susceptibility of severe patients to other comorbidities and non-viral …

P Sen, H Kaur - Human Gene, 2023 - Elsevier
COVID-19 is a severe respiratory disease caused by SARS-CoV-2, a novel human
coronavirus. Patients infected with SARS-CoV-2 exhibit heterogeneous symptoms that pose …